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This article is cited in 2 scientific papers (total in 2 papers)
Application of artificial neural network in nuclear spin echo experiments
S. N. Polulyakh, A. I. Gorbovanov V. I. Vernadsky Crimean Federal University, Simferopol
Abstract:
The possibility of artificial neural network application to detect nuclear spin echo signals under conditions when the echo amplitude is comparable to the amplitude of the noise is demonstrated. Data obtained by superimposing the model echo signals of a Gaussian form on experimentally recorded noise signals is proposed to use for training the neural network.
Keywords:
nuclear magnetic resonance, spin echo, signal-to-noise ratio, artificial neural network.
Received: 15.02.2019 Revised: 15.02.2019 Accepted: 21.03.2019
Citation:
S. N. Polulyakh, A. I. Gorbovanov, “Application of artificial neural network in nuclear spin echo experiments”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 45:12 (2019), 16–18; Tech. Phys. Lett., 45:6 (2019), 598–600
Linking options:
https://www.mathnet.ru/eng/pjtf5402 https://www.mathnet.ru/eng/pjtf/v45/i12/p16
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Abstract page: | 51 | Full-text PDF : | 22 |
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